Diffusion centrality: A paradigm to maximize spread in social networks
نویسندگان
چکیده
منابع مشابه
Diffusion centrality: A paradigm to maximize spread in social networks
We propose Diffusion Centrality (DC) in which semantic aspects of a social network are used to characterize vertices that are influential in diffusing a property p. In contrast to classical centrality measures, diffusion centrality of vertices varies with the property p, and depends on the diffusion model describing how p spreads. We show that DC applies to most known diffusion models including...
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Centrality is an important concept in the study of social networks, which in turn are important in studying organisational and team behaviour. For example, “central” individuals influence information flow and decisionmaking within a group. However, the relationship between mathematical measures of centrality on the one hand, and the real-world phenomenon of centrality on the other, is somewhat ...
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ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 2016
ISSN: 0004-3702
DOI: 10.1016/j.artint.2016.06.008